bitcoin

Introduction

The Bitcoin AI Bot is a text generation model created using the HuggingTweets framework. It is designed to generate text similar to tweets by the @bitcoin Twitter account by fine-tuning a pre-trained GPT-2 model. This model allows users to create their own bots based on specific Twitter accounts.

Architecture

The model architecture is based on GPT-2, a popular transformer model known for its text generation capabilities. The HuggingTweets framework facilitates the fine-tuning process on specific Twitter data, enabling the generation of contextually similar tweets. The model pipeline and training process are detailed in a W&B report.

Training

The training dataset consists of tweets from the @bitcoin Twitter account. A total of 3,206 tweets were downloaded, with 1,190 being retweets and 390 categorized as short tweets. Ultimately, 1,626 tweets were retained for training. The model was fine-tuned on this dataset using a pre-trained GPT-2 model. All hyperparameters and training metrics were tracked using W&B to ensure transparency and reproducibility.

Guide: Running Locally

To use this model for text generation locally, follow these steps:

1. Install Dependencies: Ensure you have the transformers library installed.

   pip install transformers
   

2. Load the Model: Use the model in a text generation pipeline.

   from transformers import pipeline
   generator = pipeline('text-generation', model='huggingtweets/bitcoin')
   result = generator("My dream is", num_return_sequences=5)
   print(result)
   

3. Run on a Cloud GPU: For faster performance, especially if generating large amounts of text, consider using cloud services such as AWS, GCP, or Azure, which offer GPU instances.

License

The HuggingTweets project, including the Bitcoin AI Bot, is available under an open-source license. Users should refer to the project's GitHub repository for specific licensing terms and conditions.